Stress and influencing factor among children diagnosed with cancer at hospitals in Nepal: a cross-sectional study by Surya Kamal Shahi, Panpan Wang, Jinjin Gu, Rajendra Man Shrestha, Peng Wang

“…Mean Standard deviation, frequency, and percentage, ANOVA test, T-test, Linear Regression analyses and multiple regressions analysis were used to characterize and analyze the influencing factors of stress. …”
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Telomere length in young and middle-aged patients: relationship with cardiovascular risk factors by V. I. Podzolkov, A. E. Bragina, N. A. Druzhinina, L. V. Vasilyeva, R. A. Shikhmagomedov, E. M. Averyeva

“…According to the multivariate regression analysis, LTL was associated with age (B=-0,04, Std. …”
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Visceral leishmaniasis treatment outcome and associated factors among pediatric patients in Northwest Ethiopia: a seven-year retrospective cohort data analysis (2013–2019) by Haregewoyn Abere, Haregewoyn Abere, Aberham Abere, Dessie Abebaw, Gizework Alemnew Mekonnen, Tena Cherkos, Mekuriaw Alemayehu, Mequanent Kassa

“…Data were entered into Epi-Info version 7.2 and subsequently analyzed using SPSS version 20. Logistic regression was employed to identify factors associated with treatment outcomes, with a statistical significance threshold set at p< 0.05.ResultsOf the 222 pediatric admissions for VL, 200 complete records were included in the analysis. …”
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Monocyte count combined with GTVnx is an independent prognostic factor in non-metastatic nasopharyngeal carcinoma receiving radiotherapy by Li-Na Yang, Yun-Rui Song, Huan Zhang, Hong-Lei Tu, Ming-Yue Lu, De-Qing Liu, Jiang-Dong Sui, Dan Li, Yue Xie, Ying Wang

“…Spearman correlation analysis was used to analyze the correlation between risk factors. …”
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Metabolic syndrome as a prognostic factor in advanced pancreatic cancer: a predictive model and chemotherapy evaluation by Jingchang Zhang, Jianbiao Li, Huiting Deng, Yongfu Zhao, Ye Zhang

“…Methods Clinical data from 276 patients with unresectable PDAC treated between 2020 and 2022 were retrospectively analyzed. Cox proportional hazards regression identified prognostic factors, and survival analysis was performed using Kaplan-Meier methods. …”
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The prevalence and determinants of physical activity in secondary Vietnamese students: a hierarchical analysis by Tram T. N. Truong, Son Trung Huynh, Vinh Nhu Nguyen, An Le Pham

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Analysis of risk factors of cholangiocarcinoma, role of diabetes mellitus and hepatitis B virus infection in the intrahepatic and extrahepatic cholangiocarcinoma: a retrospective c... by Hasan Md Rasadul, Peng-cheng Kang, Jing-lin Li, Shi-hui Ma, Cheng-hong Duan, Xu-dong Zhao, Yun-fu Cui

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Gestational diabetes mellitus complicated with depression in pregnant women: a biopsychosocial analysis and intervention strategies by Yan Wang, Yunxia Quan

“…For GDM patients, the Hamilton Depression Rating Scale-17 (HAMD-17) was used to assess depressive symptoms, categorizing them into a negative screened group (HAMD-17 score > 7) and a positive screened group (HAMD-17 score ≤ 7). Univariable analysis was performed to identify potential influencing factors, followed by multivariable logistic regression to determine independent associated factors and interaction effects. …”
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Fertility intentions among Chinese adults: a cross-sectional study using a national survey by Mingyan Hao, Chenxiao Zhang, Haofeng Fu, Jingting Zhang, Ziyi Zhang, Baotong Ma, Ruitong Xia, Yuanwei Lu, Jingwen Liu, Hanjia Xin, Yumeng Cao, Saier Yang, Runqing Li, Ji Zhao, Jin Zhang, Zheng Gao, Yaxin Zeng, Yixiao Ding, Zhuolun Ren, Yan Guan, Na Zhang, Jia Li, Yan Ma, Pei Wei, Jingjing Dong, Chen Chen, Yajing Zhou, Jianzhong Zheng, Wei Liu, Lizheng Wang

“…This situation necessitates a thorough examination of the multiple underlying factors that contribute to individuals’ decisions regarding family size. …”
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Measuring and Analyzing the Impact of Some Macroeco-nomic Variables on Exports in Emerging Countries for 2000-2020: A Panel Data Analysis by Mohammed Mustafa Braim Hassan, Hewa Othman Ismael, Idrees Ramadhan Haji

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The Effect of Economic Factors on Coffee Consumption in Rukungiri District, South-Western Uganda by moses Agaba

“…Simple random and purposeful sampling methods were used to choose a sample of 123 respondents. The thematic analysis method was utilized to assess the qualitative data, while SPSS Version 23.0 was used to analyze the quantitative data. …”
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Research Of Functional Changes In Foreign Exchange Rate EUR/UAH Under Conditions Of Economic Transformation In Ukraine by Oliinyk Oksana, Ksendzuk Valentyna, Sergiienko Larysa, Lehan Iryna

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Survey of perceived sleep quality and nursing implications in 172 adult ICU patients by Chunping Gao, Aipeng Wang, Yun Wang, Yuanyuan He, Minmin Xu, Qing Wang

“…Abstract Objective To investigate the subjective sleep quality of awake adult ICU patients, analyze the relevant influencing factors, and provide evidence for developing a targeted sleep management plan. …”
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Establishment and Validation of a Dynamic Nomogram for Persistent Organ Failure in Acute Biliary Pancreatitis: A Retrospective Study by Gu K, Wang Q

“…Initial screening identified 18 variables; through LASSO regression and multivariable logistic regression analysis, five variables including BMI, Hb, ALB, Ca, and LIP were determined as independent predictors of POF. …”
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Predictive analysis of all-cause mortality of previously untreated pulmonary tuberculosis patients complicated by hypertension by Anhua Cao, You Nie, Zhun Zhong, Yi Pei, Yi Pei, Ping Deng, Hebin Xie, Yiping Leng, Yiping Leng

“…A predictive nomogram model was developed using R software, and its precision and reliability were verified.ResultsAmong the 1,014 patients, there were 100 (9.86%) deaths and 82 (8.09%) cardiovascular events. LASSO regression screened out 13 predictive variables. Multivariate logistic regression analysis revealed that smoking history, sputum bacteriology, pleural effusion, coronary heart disease, and chronic kidney disease were independent risk factors. …”
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The endothelial activation and stress index as a risk factor for all-cause mortality in patients with anemia: a nationwide retrospective cross-sectional study by Liangliang Wu, Gaiying Dong, Tingting Wu, Xiaofan Gu, Yuping Zhang, Shunqing Wang

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Association of incidence of colorectal polyp with markers of insulin resistance and other related factors: a cross-sectional study by Yan Xu, Hongzhen He, Zhanhui Ye, Siquan Li, Hu Li, Xiaojuan Wang, Weizheng Zhang, Na Liu, Xiangsheng Cai

“…Non-insulin-based IR markers including Triglyceride Glucose Index (TyG), triglyceride glucose index (TyG)- Body Mass Index(BMI), triglycerides (TG)/high density lipoprotein cholesterol (HDL-C), Metabolic Score for Insulin Resistance (METS-IR), and mean arterial pressure (MAP) were calculated. The risk factors of colorectal polyps were analyzed by binary logistic regression. …”
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Econometric predictive model for assessing the functional state of students during the examination period: a cross-sectional exploratory pilot study by I. S. Knyazhev, L. V. Karaulova, O. V. Reztsov, A. P. Spitsin

“…The present study investigates factors associated with the adaptation potential of the cardiovascular system, develops multiple regression models for the dependence of the adaptive potential on these factors, and compares the significance of the linear model with non-linear ones. …”
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Impact of green policies, geopolitical risks, and imports on green production: formulating the SDG policies for G7 countries by Ahsan Anwar, Afshan Hamid, Magdalena Radulescu, Arshian Sharif

“…In this regard, the panel of G7 countries has been chosen for the period from 1990 to 2020, as this intergovernmental and political and economic forum better suits our problem statement. To make empirical analysis extensively, the Panel Quantile Regression (PQR) technique has been applied, which has several advantages over the standard linear regression techniques of panel data analysis, particularly in dealing with outliers in the data set and heterogeneity across various quantiles of the dependent variable distribution. …”
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Enhancing Performance and Quality of Transmission Through Knowledge-Driven Machine Learning-Based FWM Mitigation by Sudha Sakthivel, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, Mazliham Mohd Su'ud, Mohammad Riyaz Belgaum

“…The accuracy of the proposed SMR-DWDM system is confirmed by validating it with various FWM mitigating factors monitored by Optical Spectrum Analyzer (OSA) and Bit Error Rate (BER) analyzers. …”
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